Big Data MBA : driving business strategies with data science

Big Data MBA : driving business strategies with data science

Salvato in:

Dettagli Bibliografici
Autore principale:	Schmarzo, Bill. (Autore)
Natura:	E-Book
Lingua:	Anglais
Pubblicazione:	Etats-unis : Wiley-Blackwell, 2015. New York, NY : John Wiley & Sons.
Soggetti:	Données massives. Exploration de données. Prise de décision.
Autres localisations:	Voir dans le Sudoc
Accesso online:	Accès à l'E-book

Documenti analoghi

Big Data revolution : what farmers, doctors and insurance agents teach us about discovering Big Data patterns
di: Thomas, Rob.

Big data analytics : a handy reference guide for data analysts and data scientists to help to obtain value from big data analytics using Spark on Hadoop clusters.
di: Ankam, Venkat.
Pubblicazione: (2016)

Real-time big data analytics : design, process, and analyze large sets of complex data in real time
di: Gupta, Sumit.
Pubblicazione: (2016)

Big data et machine learning : les concepts et les outils de la data science
di: Lemberger, Pirmin.
Pubblicazione: (2019)

Les data sciences en 100 questions-réponses
di: Benzaki, Younes.
Pubblicazione: (2020)

Python pour le data scientist : des bases du langage au machine learning
di: Jakobowicz, Emmanuel (1980-....).

Business intelligence for dummies
di: Scheps, Swain.

Evolution and the mechanisms of decision making
Pubblicazione: (2012)

Big data : un changement de paradigme peut en cacher un autre : opportunités et menaces liées à l'émergence de nouveaux écosystèmes : rapport de l'Académie des technologies de la Commission TIC
Pubblicazione: (2016)

Big data analytics with Java
di: Mehta, Rajat.
Pubblicazione: (2017)

Recherche d'information : applications, modèles et algorithmes : fouille de données, décisionnel et big data
di: Amini, Massih-Reza (19..-....; chercheur en informatique).
Pubblicazione: (2013)

Big data analytics
di: Rao, Calyampudi Radhakrishna (1920-2023).
Pubblicazione: (2015)

Knowledge discovery in big data from astronomy and Earth observation : astrogeoinformatics
di: Škoda, Petr.
Pubblicazione: (2020)

La boîte à outils de la stratégie big data
di: Rissoan, Romain.
Pubblicazione: (2018)

Statistics for big data for dummies.
Pubblicazione: (2015)

Data warehousing in the age of big data
di: Krishnan, Krish.
Pubblicazione: (2013)

Building big data applications
di: Krishnan, Krish.
Pubblicazione: (2019)

Mathematica Data Analysis : learn and explore the fundamentals of data anlysis with the power of Mathematica
di: Suchok, Sergiy.
Pubblicazione: (2015)

Data feminism
di: D'Ignazio, Catherine (1975-....).
Pubblicazione: (2020)

Hands-on data science and Python machine learning : perform data mining and machine learning efficiently using Python and Spark
di: Kane, Frank.
Pubblicazione: (2017)

Principles of big data preparing, sharing, and analyzing complex information
di: Berman, Jules J..
Pubblicazione: (2013)

PySpark cookbook : over 60 recipes for implementing big data processing and analytics using Apache Spark and Python
di: Lee, Denny.
Pubblicazione: (2018)

Data mining and statistics for decision making
di: Tufféry, Stéphane (1965-....).
Pubblicazione: (2011)

Data science with Jupyter : master data science skills with easy-to-follow Python examples
di: Gupta, Prateek.

Deep learning by example : a hands-on guide to implementing advanced machine learning algorithms and neural networks
di: Menshawy, Ahmed.
Pubblicazione: (2018)

Julia for data science : explore the world of data science from scratch with Julia by your side
di: Joshi, Anshul.
Pubblicazione: (2016)

Devenez un as de la stratégie.

Predictive analytics and data mining : concepts and practice with Rapidminer
di: Kotu, Vijay.
Pubblicazione: (2015)

Sortez vos données du frigo : une entreprise performante avec la data et l'IA
di: Levy, Mick (19..-....; expert en data et intelligence artificielle).

Big data, data mining, and machine learning : value creation for business leaders and practitioners
di: Dean, Jared (1978-...).

XIe journées francophones sur les entrepôts de données et l'analyse en ligne : EDA'15 : [Bruxelles, 2 et 3 avril 2015]

Python & Pandas et les 36 problèmes de data science : problèmes et exercices corrigés pas à pas
di: Bro, Frédéric (19..-....).
Pubblicazione: (2021)

Big Data et visibilité en ligne : un enjeu pluridisciplinaire de l'économie numérique
di: Alcantara, Christophe (1970-....; enseignant chercheur en sciences de l'information et de la communication).
Pubblicazione: (2022)

Introduction to statistical machine learning
di: Sugiyama, Masashi.
Pubblicazione: (2015)

Xe journées francophones sur les entrepôts de données et l'analyse en ligne : EDA'14 : [Vichy, Pôle universitaire Lardy, 5 et 6 juin 2014]

Big data mining for climate change
di: Zhang, Zhihua.
Pubblicazione: (2019)

Maîtriser l'utilisation des technologies Hadoop : initiation à l'écosystème Hadoop
di: Chokogoué, Juvénal (19..-....).
Pubblicazione: (2018)

Machine learning : expert techniques to tackle complex machine learning problems using Python
di: Thanaki, Jalaj.
Pubblicazione: (2018)

Analytics in a big data world : the essential guide to data science and its applications
di: Baesens, Bart (1975-....).
Pubblicazione: (2014)

Pentaho Data Integration : beginner's guide : get up and running with the Pentaho Data Integration tool using this hands-on, easy-to-read guide
di: Roldán, María Carina (1970-....).
Pubblicazione: (2013)

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1